Samenvatting

The reason why this research was conducted is that the current used weather forecast stations were not accurate enough in the Southern part of South America and the Antarctic region, therefore this research has been conducted to find additional weather services which are more accurate. The objective is to optimize the weather procedures on board of the ships of Holland America Line and Seabourn Cruises which have been operating in the area of South America and the Antarctic region. This lead to the main question; How can the weather procedures be optimized and displayed using the most accurate weather service in the Southern part of South-America and the Antarctic region? This research is a quantitative research by collecting data of various meteorological stations and comparing them with the actual measured weather conditions. To answer the question weather forecast data have been collected over a period of 19 days in the entire area. After this period the actual weather, observations, which were made on board have been collected. With all the collected weather forecasts and weather observations an analysis has been made using the method of standard deviation. By using the standard deviation method extreme values (forecasts) have been taken out, this lead to a reliability of 68%.
The results showed that newly found weather services can be used on board of the ships which are cruising in the Southern part of South America and the Antarctic region, the easiest way to show the results is dividing the weather forecasts by the different regions and which sort of weather information are the most accurate. The conclusion is made that in different areas, different weather services are the most accurate therefore a map has been created to find as easy as possible the most accurate weather service for wind information, sea information or any other additional weather information. (see appendix II) The recommendation resulting out of this research is that this research can also be applied on any part in the world where weather forecasts are not reliable enough to use.